Senior MLOps Engineer
VirtualVocationsWarren, Michigan, United Statesjob_description.job_card.30_days_ago
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A company is looking for a Senior MLOps Engineer to design and scale infrastructure for AI research and product development.
Key Responsibilities
Identify and resolve infrastructure and software bottlenecks to enhance ML job performance
Translate research workflows into automated and scalable systems for efficient experimentation
Develop CI / CD workflows and observability frameworks for large-scale training clusters
Required Qualifications
BS in Computer Science, Information Systems, Computer Engineering, or equivalent experience
8+ years of experience in large-scale software or infrastructure systems, with 5+ years in ML platforms or MLOps
Proven experience in designing and operating ML infrastructure for production workloads
Expertise in distributed training frameworks and orchestration systems
Strong programming skills in Python and at least one systems language (Go, C++, Rust)
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Senior Engineer • Warren, Michigan, United States
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